update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.8732
-- Accuracy: 0.4263
+- Loss: 1.0293
+- Accuracy: 0.6664
 
 ## Model description
 
@@ -46,33 +46,33 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.7365        | 1.0   | 502   | 1.5167          | 0.4288   |
-| 1.3495        | 2.0   | 1004  | 1.4797          | 0.4592   |
-| 1.1131        | 3.0   | 1506  | 1.5093          | 0.4527   |
-| 0.9213        | 4.0   | 2008  | 1.6501          | 0.4522   |
-| 0.7787        | 5.0   | 2510  | 1.7494          | 0.4407   |
-| 0.6594        | 6.0   | 3012  | 1.8600          | 0.4417   |
-| 0.5807        | 7.0   | 3514  | 1.9974          | 0.4412   |
-| 0.5142        | 8.0   | 4016  | 2.0887          | 0.4273   |
-| 0.4716        | 9.0   | 4518  | 2.1556          | 0.4273   |
-| 0.4364        | 10.0  | 5020  | 2.2847          | 0.4348   |
-| 0.3934        | 11.0  | 5522  | 2.3842          | 0.4298   |
-| 0.3774        | 12.0  | 6024  | 2.4663          | 0.4228   |
-| 0.3498        | 13.0  | 6526  | 2.5637          | 0.4253   |
-| 0.337         | 14.0  | 7028  | 2.6162          | 0.4273   |
-| 0.3191        | 15.0  | 7530  | 2.6466          | 0.4268   |
-| 0.3081        | 16.0  | 8032  | 2.6214          | 0.4288   |
-| 0.2889        | 17.0  | 8534  | 2.8064          | 0.4258   |
-| 0.2831        | 18.0  | 9036  | 2.8042          | 0.4228   |
-| 0.2733        | 19.0  | 9538  | 2.8510          | 0.4288   |
-| 0.2648        | 20.0  | 10040 | 2.8732          | 0.4263   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 204  | 1.0807          | 0.6586   |
+| No log        | 2.0   | 408  | 1.2250          | 0.6760   |
+| 0.271         | 3.0   | 612  | 1.1975          | 0.6663   |
+| 0.271         | 4.0   | 816  | 1.2170          | 0.6625   |
+| 0.2395        | 5.0   | 1020 | 1.2817          | 0.6702   |
+| 0.2395        | 6.0   | 1224 | 1.4138          | 0.6634   |
+| 0.2395        | 7.0   | 1428 | 1.5268          | 0.6819   |
+| 0.1661        | 8.0   | 1632 | 1.5753          | 0.6702   |
+| 0.1661        | 9.0   | 1836 | 1.6794          | 0.6663   |
+| 0.1349        | 10.0  | 2040 | 1.6416          | 0.6731   |
+| 0.1349        | 11.0  | 2244 | 1.7056          | 0.6741   |
+| 0.1349        | 12.0  | 2448 | 1.7374          | 0.6760   |
+| 0.1159        | 13.0  | 2652 | 1.8817          | 0.6644   |
+| 0.1159        | 14.0  | 2856 | 1.7318          | 0.6751   |
+| 0.111         | 15.0  | 3060 | 1.8213          | 0.6712   |
+| 0.111         | 16.0  | 3264 | 1.8347          | 0.6722   |
+| 0.111         | 17.0  | 3468 | 1.8072          | 0.6780   |
+| 0.0988        | 18.0  | 3672 | 1.8371          | 0.6770   |
+| 0.0988        | 19.0  | 3876 | 1.8562          | 0.6741   |
+| 0.0907        | 20.0  | 4080 | 1.8583          | 0.6741   |
 
 
 ### Framework versions
 
-- Transformers 4.26.0
+- Transformers 4.26.1
 - Pytorch 1.13.1+cu116
-- Datasets 2.9.0
+- Datasets 2.10.0
 - Tokenizers 0.13.2